MBCT Graduate Alumni

Javan is an Applied Physics PhD student, working in Surya Ganguli's lab. Javan's research focuses on elucidating biophysical parameters that determine the geometric structure of neural population activity. Understanding how cell-type heterogeneity, varying time scales, and connectivity conspire to shape neural activity in state space could shed light on the unique computational style of the brain and guide future experiments. Before arriving at Stanford, Javan double-majored in Neuroscience and Physics and minored in Mathematics at NYU.

Julia is a PhD student in the Electrical Engineering department. She currently works with Prof. Scott Linderman on developing and fitting statistical models to uncover structure of neuroscience-related datasets. She graduated from Johns Hopkins University in 2020 with a BS in Biomedical Engineering, Mathematics, and Applied Mathematics and Statistics. At Stanford, she is the social chair for Women in EE and a member of the campus chapter of the American Society for Engineering Education. Outside of research, Julia enjoys teaching, reading, and climbing.

Originally from Billings, Montana, Michael is an Electrical Engineering Ph.D. student advised by Paul Nuyujukian. His research interests include understanding the causal relationships between cortical dynamics and behavior, as well as developing brain-machine interfaces for the treatment of neurological disorders. Michael has served as a mentor for Stanford’s FAST, SURF, and high school research experience programs, and he has held leadership roles in local Eta Kappa Nu and Special Olympics chapters. Before starting his Ph.D.

I am a PhD student in the department of Bioengineering, co-advised by Jennifer Raymond (Stanford Neurobiology) and Mark Goldman (UC Davis Neuroscience). I am interested in the principles by which learning and memory operate, and in my research I am studying mathematical models of learning in the control of eye movement reflexes, which are mediated by neural circuits in the cerebellum.